We are seeking a Data Scientist to join our team in Cape Town, onsite. The Data Scientist will enhance, maintain, and evolve the analytical and optimisation models used to drive product assortment ...

We are seeking a Data Scientist to join our team in Cape Town, onsite. The Data Scientist will enhance, maintain, and evolve the analytical and optimisation models used to drive product assortment ...

Information and communication technology (ICT) is crucial for maintaining efficient communications, enhancing processes, and enabling digital transformation. As ICT becomes increasingly significant in ...

Abstract: Most existing outlier detection methods rely on a single and fine-grained data representation, making them vulnerable to noise and inefficient in capturing local anomalies. Granular-ball ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

Abstract: Outlier detection for mixed data is one of the key research areas in data mining. Existing ensemble strategies typically combine outlier information from various data types to assess the ...

ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...

ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...

This repository contains a Python-based automated outlier detection framework. It is designed to process datasets containing numerical time-series data and detect anomalies using various statistical ...

In southern Australia, a government agency is trialing the assistance of hardworking detection dogs to help locate a protected python species for improved conservation efforts, ABC News Australia ...